Case Studies / Automobile / Intelligent Stereo Vision

Intelligent Stereo Vision

Intelligent analysis of 3D environments using custom built stereo vision cameras and an AI component hosted within the camera.

Intelligent Stereo Vision

Overview

Introducing our innovative solution for intelligent 3D environment analysis, utilizing advanced stereo vision cameras and AI technology. This state-of-the-art system, powered by Intel’s Realsense and NVIDIA’s Jetson components with integrated GPUs, provides real-time 3D object measurement and advanced scenario detection. Equipped with predefined rules for identifying critical situations such as unattended luggage and unattended children, our solution offers unparalleled accuracy and efficiency. The on-device machine learning capabilities ensure seamless performance even in low-bandwidth environments, while the dynamic rule engine allows for customized scenario tracking. Experience next-generation security and surveillance with our high-performance, AI-driven camera system designed for real-time monitoring and intelligent analysis.

Business Context

The security and surveillance sectors face continuous pressure to deliver precise and prompt responses to potential threats. Traditional monitoring systems often struggle with the intricacies of real-time analysis, resulting in delayed responses and heightened vulnerability. There is a clear need for a more intelligent and responsive solution, particularly in high-risk environments such as airports, train stations, and public venues.  

Intelligent Stereo Vision approaches these challenges by integrating cutting-edge stereo vision technology with AI components directly within the camera. This integration enables real-time processing and analysis, reducing network dependency and enhancing the system’s reliability and speed. By automating the identification of predefined scenarios and providing accurate measurements, this solution not only enhances security but also streamlines operational efficiency. 

Key Features

  • Analysis of 3D Environments in Real Time: The system continually monitors and evaluates 3D environments, offering in-depth insights into spatial relationships and movements. This real-time capability ensures immediate detection and response to potential threats.  
  • Automatic Identification of Predefined Scenarios: Equipped with predetermined rules, the system can automatically identify and raise alerts for scenarios such as unattended luggage or children. This feature enhances situational awareness and enables swift intervention.  
  • Live 3D Object Measurement: The capability to measure objects in real time in three dimensions allows for precise analysis and confirmation, which is crucial in various security and operational contexts.  
  • On-Device AI Processing: By utilizing Intel’s RealSense cameras and NVidia’s Jetson components, the system conducts on-device machine learning, reducing dependence on network connectivity and ensuring robust performance even in challenging conditions.  
  • Adaptive Rule Engine: A customizable rule engine empowers users to define and modify rules for various scenarios, ensuring the system remains adaptable to evolving security requirements. 

Solution Components

  • Stereo Vision Cameras: These custom-built cameras utilize Intel’s RealSense technology to capture high-quality 3D data, which is essential for accurate environment analysis.  
  • On-Device AI Processor: By employing NVidia’s Jetson component with a built-in GPU, the system enables powerful on-device machine learning, facilitating real-time data processing and analysis without network latency.  
  • Adaptive Rule Engine: This engine allows for the creation and modification of rules to identify specific scenarios, ensuring the system can adapt to new threats and operational needs.  
  • 3D Measurement Module: Integrated within the cameras, this module provides precise three-dimensional measurements of objects, enhancing the system’s analytical capabilities.  
  • Real-Time Analytics: The analytics module processes data in real time using Python and Docker, providing immediate insights and alerts.  
  • User Interface: Developed using React, the intuitive user interface allows operators to monitor live feeds, receive alerts, and configure system settings with ease. 

Key Technologies

  • Python
  • Nvidia
  • Intel realsense
  • Docker

Benefits

  • Improved Security: By automating the detection of predefined scenarios and providing real-time 3D analysis, the system significantly enhances situational awareness and response times.  
  • Streamlined Operations: On-device processing reduces network dependency, ensuring consistent performance and quicker decision-making.  
  • Adaptability: The dynamic rule engine allows the system to evolve with changing security needs, ensuring sustained effectiveness over time.  
  • Precision and Accuracy: The capability to measure objects in three dimensions ensures precise analysis and verification, which is crucial for effective threat detection and response.  
  • Scalability: The modular design and utilization of advanced technologies such as Docker ensure that the system can scale to meet the demands of various environments and applications.  

Conclusion

Intelligent Stereo Vision represents a significant advancement in security and surveillance. By integrating custom-built stereo vision cameras with on-device AI capabilities, this solution provides real-time, precise, and adaptable monitoring that meets the complex needs of modern security environments. Its ability to automatically detect predefined scenarios and provide accurate 3D measurements makes it an invaluable tool for enhancing safety and operational efficiency. 

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